摘要翻译：
微分算子可以检测信号中的显著变化。这可用于增强深度EEG或ECoG中癫痫发作特征的对比度。我们实际取了癫痫ECoG单、双导数绝对值的归一化指数。已执行方差操作来自动检测癫痫发作。还提出了一种确定癫痫发作持续时间的新方法。由于所有操作只需线性时间，所以整个方法速度极快。引入了七个新的参数，其患者特异性阈值将误检率降至最低。本文报告了四例癫痫患者ECoG数据的ROC曲线分析结果。ROC曲线下面积的高值表示优良的检测性能。
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英文标题：
《Differential Operator in Seizure Detection》
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作者：
Kaushik Majumdar
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最新提交年份：
2009
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Quantitative Methods        定量方法
分类描述：All experimental, numerical, statistical and mathematical contributions of value to biology
对生物学价值的所有实验、数值、统计和数学贡献
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一级分类：Physics        物理学
二级分类：Medical Physics        医学物理学
分类描述：Radiation therapy. Radiation dosimetry. Biomedical imaging modelling.  Reconstruction, processing, and analysis. Biomedical system modelling and analysis. Health physics. New imaging or therapy modalities.
放射治疗。辐射剂量学。生物医学成像建模。重建、处理和分析。生物医学系统建模与分析。健康物理学。新的成像或治疗方式。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  Differential operators can detect significant changes in signals. This has been utilized to enhance the contrast of the seizure signatures in depth EEG or ECoG. We have actually taken normalized exponential of absolute value of single or double derivative of epileptic ECoG. Variance operation has been performed to automatically detect seizures. A novel method for determining the duration of seizure has also been proposed. Since all operations take only linear time, the whole method is extremely fast. Seven novel parameters have been introduced whose patient specific thresholding brings down the rate of false detection to a bare minimum. Results of implementation on the ECoG data of four epileptic patients have been reported with an ROC curve analysis. High value of the area under the ROC curve indicates excellent detection performance.
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PDF链接：
https://arxiv.org/pdf/0911.0188